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Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study

Spectral analysis of the arterial pressure waveform, using specialized hardware, has been used for the retrospective calculation of the ‘Spectral Peak Ratio’ (SPeR) of the respiratory and cardiac arterial spectral peaks. The metric can quantify the cardiovascular response to volume loading by analys...

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Autor principal: Pybus, David Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314984/
https://www.ncbi.nlm.nih.gov/pubmed/29705865
http://dx.doi.org/10.1007/s10877-018-0145-0
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author Pybus, David Andrew
author_facet Pybus, David Andrew
author_sort Pybus, David Andrew
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description Spectral analysis of the arterial pressure waveform, using specialized hardware, has been used for the retrospective calculation of the ‘Spectral Peak Ratio’ (SPeR) of the respiratory and cardiac arterial spectral peaks. The metric can quantify the cardiovascular response to volume loading by analysing the effect of changing tidal volume (indexed to body weight) (V(TI)) on pulse pressure variability. In this pilot study, the feasibility of real-time SPeR calculation, using a mobile computer which was wirelessly connected to the patient monitor, was evaluated by examining the determinants of SPeR in 60 cardiac-surgical patients. In 30 patients undergoing aortic valve replacement (AVR), graded cyclical changes in ventricular loading were induced by increasing V(TI) over 2 min, while performing spectral analysis at 1 Hz, before and after AVR. A strong, linear correlation between SPeR and V(TI) was found and the slope of the regression line (β) changed significantly after AVR. The change in β correlated with the width of the preoperative vena contracta. In another 30 patients, SPeR at constant V(TI) was calculated at 1 Hz during passive leg raising. β fell significantly on leg raising. The mean arterial pressure change during the manoeuvre was linearly related to the change in β. Real-time spectral analysis of the arterial waveform was easily accomplished. The regression of SPeR on V(TI) was linear. β appeared to represent the slope of the cardiac response curve at the venous return curve equilibrium point. Measurements were possible at a significantly lower V(TI) than the equivalent time domain metrics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10877-018-0145-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-63149842019-01-11 Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study Pybus, David Andrew J Clin Monit Comput Original Research Spectral analysis of the arterial pressure waveform, using specialized hardware, has been used for the retrospective calculation of the ‘Spectral Peak Ratio’ (SPeR) of the respiratory and cardiac arterial spectral peaks. The metric can quantify the cardiovascular response to volume loading by analysing the effect of changing tidal volume (indexed to body weight) (V(TI)) on pulse pressure variability. In this pilot study, the feasibility of real-time SPeR calculation, using a mobile computer which was wirelessly connected to the patient monitor, was evaluated by examining the determinants of SPeR in 60 cardiac-surgical patients. In 30 patients undergoing aortic valve replacement (AVR), graded cyclical changes in ventricular loading were induced by increasing V(TI) over 2 min, while performing spectral analysis at 1 Hz, before and after AVR. A strong, linear correlation between SPeR and V(TI) was found and the slope of the regression line (β) changed significantly after AVR. The change in β correlated with the width of the preoperative vena contracta. In another 30 patients, SPeR at constant V(TI) was calculated at 1 Hz during passive leg raising. β fell significantly on leg raising. The mean arterial pressure change during the manoeuvre was linearly related to the change in β. Real-time spectral analysis of the arterial waveform was easily accomplished. The regression of SPeR on V(TI) was linear. β appeared to represent the slope of the cardiac response curve at the venous return curve equilibrium point. Measurements were possible at a significantly lower V(TI) than the equivalent time domain metrics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10877-018-0145-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-04-28 2019 /pmc/articles/PMC6314984/ /pubmed/29705865 http://dx.doi.org/10.1007/s10877-018-0145-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Pybus, David Andrew
Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title_full Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title_fullStr Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title_full_unstemmed Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title_short Real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
title_sort real-time, spectral analysis of the arterial pressure waveform using a wirelessly-connected, tablet computer: a pilot study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314984/
https://www.ncbi.nlm.nih.gov/pubmed/29705865
http://dx.doi.org/10.1007/s10877-018-0145-0
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